Transcriptomics

Training material for all kinds of transcriptomics analysis.

Requirements

Before diving into this topic, we recommend you to have a look at:

Material

Introduction

Start here if you are new to RNA-Seq analysis in Galaxy

Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
Introduction to Transcriptomics
Reference-based RNA-Seq data analysis
De novo transcriptome reconstruction with RNA-Seq

End-to-End Analysis

These tutorials take you from raw sequencing reads to pathway analysis

Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
1: RNA-Seq reads to counts
2: RNA-seq counts to genes
3: RNA-seq genes to pathways

Single-cell RNA-seq

Tutorials about analysis of single-cell RNA-seq data

Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
An introduction to scRNA-seq data analysis
/
Pre-processing of Single-Cell RNA Data
Understanding Barcodes
Plates, Batches, and Barcodes
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Single-cell quality control with scater
Downstream Single-cell RNA analysis with RaceID
Pre-processing of 10X Single-Cell RNA Datasets
Clustering 3K PBMCs with Scanpy
Generating a single cell matrix using Alevin
Filter, Plot and Explore Single-cell RNA-seq Data
Analysis of plant scRNA-Seq Data with Scanpy
Trajectory Analysis using Python (Jupyter Notebook) in Galaxy

Visualisation

Tutorials covering data visualisation

Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
RNA Seq Counts to Viz in R
Visualization of RNA-Seq results with CummeRbund
Visualization of RNA-Seq results with heatmap2
Visualization of RNA-Seq results with Volcano Plot

Other


Assorted other tutorials

Lesson Slides Hands-on Input dataset Workflows Galaxy tour Galaxy instances
CLIP-Seq data analysis from pre-processing to motif detection
Differential abundance testing of small RNAs
GO Enrichment Analysis
Network analysis with Heinz
RNA-RNA interactome data analysis
RNA-Seq analysis with AskOmics Interactive Tool
Small Non-coding RNA Clustering using BlockClust
Whole transcriptome analysis of Arabidopsis thaliana
/

Galaxy instances

You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.

You can also use the following Docker image for these tutorials:

docker run -p 8080:80 quay.io/galaxy/transcriptomics-training

NOTE: Use the -d flag at the end of the command if you want to automatically download all the data-libraries into the container.

It will launch a flavored Galaxy instance available on http://localhost:8080. This instance will contain all the tools and workflows to follow the tutorials in this topic. Login as admin with password password to access everything.

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

Maintainers

This material is maintained by:

Bérénice BatutBérénice Batut Maria DoyleMaria Doyle Florian HeylFlorian Heyl

For any question related to this topic and the content, you can contact them or visit our Gitter channel.

Contributors

This material was contributed to by:

Maria DoyleMaria Doyle Belinda PhipsonBelinda Phipson Harriet DashnowHarriet Dashnow Jovana MaksimovicJovana Maksimovic Anna TrigosAnna Trigos Matt RitchieMatt Ritchie Shian SuShian Su Charity LawCharity Law Florian HeylFlorian Heyl Daniel MaticzkaDaniel Maticzka Bérénice BatutBérénice Batut Mallory FreebergMallory Freeberg IGC Bioinformatics UnitIGC Bioinformatics Unit Chao (Cico) ZhangChao (Cico) Zhang Fotis E. PsomopoulosFotis E. Psomopoulos Toby HodgesToby Hodges Pavankumar VidemPavankumar Videm Xavier GarnierXavier Garnier Anthony BretaudeauAnthony Bretaudeau Anne SiegelAnne Siegel Olivier DameronOlivier Dameron Andrea BagnacaniAndrea Bagnacani Cristóbal GallardoCristóbal Gallardo Beatriz Serrano-SolanoBeatriz Serrano-Solano Anika ErxlebenAnika Erxleben Markus WolfienMarkus Wolfien Mehmet TekmanMehmet Tekman Wolfgang MaierWolfgang Maier Mo HeydarianMo Heydarian Clemens BlankClemens Blank Nicola SoranzoNicola Soranzo Peter van HeusdenPeter van Heusden Wendi BaconWendi Bacon Alex OstrovskyAlex Ostrovsky Graham EtheringtonGraham Etherington Hans-Rudolf HotzHans-Rudolf Hotz Daniel BlankenbergDaniel Blankenberg Jonathan ManningJonathan Manning

References